• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Building and Environment >Air-conditioning usage conditional probability model for residential buildings
【24h】

Air-conditioning usage conditional probability model for residential buildings

机译：住宅空调使用条件概率模型

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper presents a residential building air-conditioning usage model based on actual occupant behavior. Surveys and continuous measurements of the AC usage of more than thirty families from 8 cities in different climate zones identified different AC usage patterns. The AC usage in residential buildings was found to be related to environment triggers, event triggers, and some random factors. An action-based quantitative stochastic model was then developed to predict AC usage in which typical patterns, including those driven by environmental triggers and event triggers, that affect AC usage are described mathematically as a series of conditional probabilities. Discrete three-parameter Weibull distributions are used in some of the model functions. The model is applied to three families as case studies with quantitative descriptions of the AC usage with different patterns. The studies show that the model works well for different behavioral patterns and also different conditions in the same pattern, and that the model predictions are also quite accurate.
机译：本文提出了一种基于实际居住者行为的住宅建筑空调使用模型。对来自不同气候区的8个城市的30多个家庭的AC使用情况进行的调查和连续测量确定了不同的AC使用模式。发现住宅建筑中的空调使用与环境触发因素，事件触发因素和一些随机因素有关。然后，开发了基于动作的定量随机模型来预测AC使用量，其中将影响AC使用量的典型模式（包括由环境触发因素和事件触发因素驱动的典型模式）在数学上描述为一系列条件概率。某些模型函数中使用了离散的三参数Weibull分布。该模型应用于三个家庭，作为案例研究，对不同模式的AC使用情况进行了定量描述。研究表明，该模型适用于不同的行为模式以及相同模式下的不同条件，并且模型预测也非常准确。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号